An EU Consortium Built an XR Robotics Trainer. Now It Has to Prove It Works.
MASTER, a 42-month Horizon project built on Virtualware's VIROO platform, runs its final showcase on 9 June 2026 — but adoption data and post-funding continuity are still open questions.
The MASTER project — short for Mixed Reality Ecosystem for Teaching Robotics in Manufacturing — is approaching the end of a 42-month run funded by the European Union's Horizon programme. The consortium will gather in Oldenburg, Germany, on 9 June 2026 for what is, in effect, the project's only public demonstration before the funding window closes. It is the moment the project has been working toward; it is also the moment when the gap between a funded capability-building exercise and a proven training solution becomes most visible.
The numbers, on paper, are specific. MASTER carries a budget of €8.34 million, runs across seven partners in three countries, and has operated in roughly that shape since it launched in January 2023. Its coordinator, Panagiotis Karagiannis, is a project manager at the Laboratory for Manufacturing Systems and Automation (LMS) at the University of Patras in Greece. The project is registered on the European Commission's CORDIS registry under ID 101093079.
What the platform actually does
MASTER is, in concrete terms, an open XR platform for creating and managing training content aimed at non-expert trainers and educators working in robotics and automation. The architecture is split into five pillars: an Open XR Platform for content creation and management; the technical functions that handle robot interaction, code-free robot programming, and gaze-based interaction; and a layer of XR-based robotics training materials built on top of those tools.
The underlying runtime is VIROO, the enterprise XR platform from Spanish firm Virtualware — a MASTER partner whose CTO Sergio Barrera appears alongside Karagiannis in the project's public-facing material. That choice matters: VIROO is a commercial product, not a research prototype, and pinning a Horizon project's training stack to a partner's commercial platform raises the question — still unanswered in the source material — of what happens to MASTER's content layer when the grant ends.
Three platform features carry most of the load, according to the coordinator. First, code-free robot programming: trainers who are not engineers can use the platform to author robot programs visually, then test them in simulation before they touch a real production line. Second, gaze-based interaction, which lets a trainee's eye position act as an input. Third — and arguably the most safety-relevant — a system of virtual safety zones, instrumented with sensors, that can automatically reduce a robot's speed or trigger a protective stop when a human worker enters the zone. Each of these maps to a recognisable pain point in industrial robotics training: the cost of taking a real line offline, the difficulty of letting new operators practice on expensive equipment, and the regulatory pressure around human–robot collaboration.
Open Calls as a real test of openness
The project has tried to extend its reach through two EU-funded open calls. The first, OC1, ran from 18 March to 31 May 2024 and received 64 applications, of which 17 were funded. The second, OC2, ran from 7 April to 12 June 2025 and drew 78 applications, with 24 funded. Together, those 41 third-party add-ons are the closest the project comes to a market signal — outside parties saw the platform, decided it was worth building on, and shipped something.
The add-ons themselves are specific. Among the funded tools are a voice-prompted object manipulation module, a digital twin of a cargo ship built for maritime training, and a haptic glove. The project reports having developed more than 30 assets — including 3D models, safety zones, user interfaces, and a virtual assistant — with contributions from organisations including Nokia Bell Labs. None of these are described in the source material as having independent adoption data, and the project does not publish post-grant continuity plans for any of them.
Who's doing the validation
The user-study work inside MASTER is led by Konstantina Salagianni of the Teaching Factory Competence Center, with Judit Ruiz de Munain Bedia contributing on XR-and-education design, and Maria Madarieta Elordi profiled in a women-in-XR/robotics series. The project structure splits validation across five work packages: WP1 covers the platform and its five pillars; WP2 handles didactic material under ALE; WP3 runs the open calls; WP4 runs experiments and validation, with initial pilots described as involving 10 participants; WP5 covers dissemination, exploitation, and communication.
User feedback so far has been positive: participants reported being "satisfied" or "very satisfied" with the platform's ease of use, content creators said they would use the platform again for similar tasks, and trainees reported enjoying the graphics and interaction with 3D objects, with improvements noted in understanding lecture content — according to the coordinator. That 10-participant pilot figure is small, and the project does not in the available material present scaled validation results. The validation work has also produced an ACM VRST 2024 paper registered on the ACM Digital Library, though not yet independently read in full at the time of writing.
The honest frame
MASTER is best read as a publicly funded capability-building exercise inside the Industry 4.0 transition, not as a transformation catalyst. The source material supports a specific claim: that the EU spent €8.34 million to build a five-pillar XR architecture on a commercial partner's platform, ran two open calls that produced 41 funded third-party tools and more than 30 documented assets, and is now staging a single public demonstration before the funding closes. It does not support claims about industry-wide adoption, post-funding commercial continuity, or a shift in how robots are trained across European manufacturing. The 9 June 2026 showcase in Oldenburg — at CORE Oldenburg, Heiligengeiststraße 6–8, with a publicly available agenda — is where the project will have to start bridging that gap, or admit, honestly, that bridging it is someone else's job.